'Normalcdf' presentation slideshows

Chapter 6: The Standard Deviation as a Ruler and the Normal Model

Chapter 6: The Standard Deviation as a Ruler and the Normal Model. AP Statistics. The Standard Deviation as a Ruler. The trick in comparing very different-looking values is to use standard deviations as our rulers.

574 views • 46 slides

Section 6.3

329 views • 20 slides

The Normal Distribution

The Normal Distribution. The Area under the curve. The area under the curve represents everything: 100%. The mean is in the middle. 50% of the data is below the mean. 50% of the data is above the mean. Remember that the mean=median=mode!. Within one standard deviation. P(-1<Z<1) = 68%.

306 views • 17 slides

The Normal Distribution

The Normal Distribution. The Area under the curve. The area under the curve represents everything: 100%. The mean is in the middle. 50% of the data is below the mean. 50% of the data is above the mean. Remember that the mean=median=mode!. Within one standard deviation. P(-1<Z<1) = 68%.

176 views • 17 slides

7.3

7.3. Applications of the Normal Distribution. Probabilities. We want to calculate probabilities and values for general normal probability distributions We can relate these problems to calculations for the standard normal in the previous section. Z-Score.

265 views • 15 slides

Normal Distribution using the TI-83 Graphing Calculator

Normal Distribution using the TI-83 Graphing Calculator. To access the TI-83 functions for Normal Distributions Press 2 nd and VARS. normalpdf ( height of the curve. The TI-83 provides three functions for Normal Distribution:. normalcdf ( area under the curve.

408 views • 14 slides

STANDARD DEVIATION & THE NORMAL MODEL

STANDARD DEVIATION & THE NORMAL MODEL. What is a normal distribution? The normal distribution is pattern for the distribution of a set of data which follows a bell shaped curve.

220 views • 12 slides